Urgent! Machine Learning Engineer Job Opening In India, India – Now Hiring Careerfit.ai
<p><p><b>Description :</b></p><p><p><b><br/></b></p>Senior Software Engineer Machine Learning (Hybrid/Remote).<br/><br/>Are you an exceptional technologist ready to take your AIML expertise to the next level?
Join a growing agile technology team shaping innovative solutions for the life science regulatory affairs domain.<br/><br/><b>About the Role :</b></p><p><p><b><br/></b></p>This is a pivotal position for an experienced software engineer specialising in AI/ML development, offering technical autonomy, impactful responsibilities, and opportunities for growth.<br/><br/>Youll build scalable, secure, and robust systems that drive business value and contribute directly to our technology roadmap and engineering culture.<br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Develop and deploy scalable microservices, ensuring independent and reliable delivery.<br/><br/></p><p>- Collaborate closely with cross-functional teams including front-end, DevOps, and product to deliver high-quality software.<br/><br/></p><p>- Drive code excellence with rigorous unit/integration testing and code reviews.<br/><br/></p><p>- Monitor, debug, and optimize backend systems for enterprise-grade performance.<br/><br/></p><p>- Design high-performance, fault-tolerant systems capable of handling complex data workflows.<br/><br/></p><p>- Lead knowledge sharing, clear communication, and documentation for technical solutions.<br/><br/></p><p>- Coordinate effectively with remote global team members.<br/><br/></p><p>- Develop robust, scalable web applications tailored for B2B and enterprise client needs.<br/><br/><p><b>Required Skills and Experience :</b></p></p><p><br/></p><p>- 7+ years building production-grade AIML systems (Python).<br/><br/></p><p>- Deep proficiency in LLM frameworks : LangChain, LlamaIndex, and custom RAG (Retrieval-Augmented Generation) pipelines.<br/><br/></p><p>- Strong background with vector databases and semantic search (Pinecone, Weaviate, FAISS, ChromaDB).<br/><br/></p><p>- Advanced prompt engineering and LLM fine-tuning for regulatory and compliance domains.<br/><br/></p><p>- NLP expertise : document processing, multi-format parsing (PDF, HTML, XML, Word), semantic embeddings.<br/><br/></p><p>- Hands-on work with Hugging Face Transformers (BERTRoBERTa, NER, text classification).<br/><br/></p><p>- Familiarity with LLM providers (OpenAI GPT-4, Anthropic Claude, Azure OpenAI, Llama, Mistral).<br/><br/></p><p>- Extensive cloud experience (AWS, Azure, Google Cloud Platform).<br/><br/></p><p>- Python async frameworks (FastAPI, asyncio, aiohttp); RESTful API design, JSON, OpenAPI/Swagger.<br/><br/></p><p>- Skilled with CI/CD tools (GitHub Actions, Jenkins, CodePipeline) and containerization (Docker, Kubernetes)</p><p><br/></p><p>- Advanced database skills : PostgreSQL, MySQL, query optimization, indexing, schema design; NoSQL experience (MongoDB, DynamoDB).<br/><br/></p><p>- Git version control mastery, including complex workflows and resolution strategies.<br/><br/></p><p>- Familiarity with IaC tools (CloudFormation, Terraform).</p><p><br/><b>Qualifications :</b></p><p><br/></p><p>- Bachelors/Masters in Computer Science or related field.<br/><br/></p><p>- Track record of backend development in complex, scalable applications.<br/><br/></p><p>- Strong communication, collaboration, and stakeholder management skills[1].<br/><br/></p><p>- Experience with healthcare IT systems (HIS, EMR/EHR) and knowledge of data privacy </p><p>regulations (HIPAA, GDPR) is a plus.<br/><br/></p><p>- Cloud certifications and experience with AI-assisted development tools (GitHub Copilot) are highly desirable.<br/><br/><p><b>Soft Skills : </b></p><p><b><br/></b></p>- Analytical thinking and problem-solving ability.<br/><br/></p><p>- Capable of working independently and leading technical discussions.<br/><br/></p><p>- Adaptable to fast-paced, agile environments.<br/><br/><b>Whats Offered : </b><br/><br/></p><p>- Competitive salary and benefits.</p><p><br/></p><p>- Flexible hours, remote work options, and a collaborative, people-centred team.</p><p><br/></p><p>- Opportunities to drive cutting-edge projects in the life science regulatory space.<br/><br/></p><p>- Supportive environment for professional development and growth.<br/></p><br/></p> (ref:hirist.tech)
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19684 jobs in India and 1441 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Careerfit.ai is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Careerfit.ai adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at Careerfit.ai, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Careerfit.ai's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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