Urgent! Machine Learning Engineer - PyTorch/Tensorflow Job Opening In India, India – Now Hiring Begig
<p><p><b>About BeGig :</b><br/><br/> BeGig is the leading tech freelancing marketplace, helping early-stage, non-tech founders bring their visions to life by connecting them with top-tier freelance talent.<br/><br/> By joining BeGig, youre not just taking on one role youre joining a platform that continuously matches you with high-impact opportunities tailored to your expertise.<br/><br/> <b>Your Opportunity :</b><br/><br/> Join our network as a Machine Learning Engineer and help startups build intelligent systems that learn from data and drive business outcomes.<br/><br/> From recommendation engines and predictive analytics to personalization and generative AI, youll work on real-world use cases that power scalable products.<br/><br/> <b>Role Overview :</b><br/><br/> As a Machine Learning Engineer, you will : <br/><br/></p><p> - Design, develop, and deploy ML models tailored to business needs.<br/><br/> - Build end-to-end pipelines from data preprocessing to inference.<br/><br/> - Collaborate with cross-functional teams to integrate models into production systems.<br/><br/> <b>What Youll Do :</b><br/><br/> - Train and evaluate models using scikit-learn, XGBoost, PyTorch, or TensorFlow.<br/><br/> - Perform data wrangling, feature engineering, and model optimization.<br/><br/> - Automate ML workflows and monitor performance.<br/><br/> - Deploy models via APIs, cloud services, or containerized environments.<br/><br/> - Continuously improve accuracy, scalability, and efficiency.<br/><br/> <b>Technical Requirements :</b><br/><br/> - 3+ years of experience in ML engineering or applied data science.<br/><br/> - Strong Python skills; experience with scikit-learn, TensorFlow, or PyTorch.<br/><br/> - Hands-on experience with structured, unstructured, or time-series data.<br/><br/> - Familiarity with AWS, GCP, or Azure for ML deployment.<br/><br/> - Bonus : knowledge of MLOps tools such as MLflow, Airflow, or Kubeflow.<br/><br/> <b>What Were Looking For :</b><br/><br/> - A problem-solver who can translate data into actionable insights.<br/><br/> - A freelancer comfortable owning ML components end-to-end.<br/><br/> - Someone who thrives in agile, product-driven startup environments.<br/><br/> <b>Why Join Us :</b><br/><br/> - Work on impactful ML projects across industries.<br/><br/> - Enjoy fully remote and flexible freelance opportunities.<br/><br/> - Get matched with future ML roles in diverse use cases.<br/><br/> - Join a forward-looking network shaping the future of applied ML.<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 19853 jobs in India and 1499 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! Begig is currently hiring and seeking a Machine Learning Engineer PyTorch/Tensorflow to join their team. Feel free to download the job details.
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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 Begig adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer PyTorch/Tensorflow 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 PyTorch/Tensorflow 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 PyTorch/Tensorflow interview at Begig, 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 Begig'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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