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Urgent! Vigyanlabs - AI Engineering Manager Job Opening In India, India – Now Hiring Vigyanlabs

Vigyanlabs AI Engineering Manager



Job description

<p><p><b>The Role : </b></p><p><p><b><br/></b></p><p><b>AI Engineering Manager</b></p><p><br/>We are seeking an experienced and visionary AI Engineering Manager to lead our team of talented engineers.

The ideal candidate will be a technical leader and a collaborative manager, responsible for guiding our team to build innovative and high-performance AI solutions.

You'll play a crucial role in shaping our technical roadmap, fostering a culture of excellence, and ensuring our projects are delivered on time and within budget.

This is a unique opportunity to blend strategic leadership with hands-on technical oversight in a fast-paced, cutting-edge environment.</p><br/><b>Responsibilities : </b><br/><br/><b>- Team Leadership & Development : </b> Lead, mentor, and inspire a team of AI/ML engineers and data scientists.

Conduct regular one-on-ones, performance reviews, and provide continuous feedback to support professional growth.<br/><br/><b>- Technical Strategy & Vision : </b> Develop and execute the technical strategy for AI initiatives, aligning it with company-wide goals.

This includes defining the technology stack, architectural patterns, and best practices for model development, deployment, and monitoring.<br/><br/><b>- Project & Budget Management : </b> Oversee the entire project lifecycle for AI projects, from ideation to production.

Ensure projects adhere to timelines and budgets, and are delivered with high quality.<br/><br/><b>- Performance Monitoring : </b> Define and implement key performance indicators (KPIs) for the engineering team and AI models, and regularly report on performance to stakeholders.<br/><br/><b>- Stakeholder Communication : </b> Act as the primary point of contact for the engineering team, effectively communicating project status, goals, and technical challenges to both technical and non-technical stakeholders.<br/><br/><b>- Cross-Functional Collaboration : </b> Coordinate with product managers, data scientists, and other internal teams to ensure seamless project execution and alignment on goals.<br/><br/><b>Qualifications : <br/><br/></b></p><p><p><b>Education : <br/></b><br/>- Bachelor's degree in Computer Science, Engineering, or a related field.

A Master's or Ph.D. with a specialization in Machine Learning or Artificial Intelligence is a significant plus.</p><br/><b>Experience :</b></p><p><b><br/></b>- 3+ years of experience in a management or lead role within an engineering team.<br/><br/></p><p>- Proven hands-on experience in the AI/ML domain, including developing and deploying machine learning models, working with large datasets, and managing data pipelines.<br/><br/></p><p>- Experience with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services (e.g., Sagemaker, Vertex AI, MLFlow).<br/><br/><b>Technical Skills (AI Focus) : </b><br/><br/></p><p>- Strong understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.<br/><br/></p><p>- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras.<br/><br/></p><p>- Proficiency in programming languages commonly used in AI/ML, such as Python and R.<br/><br/></p><p>- Experience with data processing and big data technologies like Spark, Hadoop, or Dask.<br/><br/></p><p>- Knowledge of MLOps principles and tools for model versioning, serving, and monitoring.<br/><br/><b>Core Competencies :</b></p><p><p><b><br/></b></p>- Exceptional interpersonal and communication skills, with the ability to articulate complex technical concepts clearly to diverse audiences.<br/><br/></p><p>- Strong leadership and mentoring abilities to motivate and develop a high-performing team.<br/><br/></p><p>- Excellent problem-solving skills and a strategic mindset.<br/><br/></p><p>- Ability to thrive in a dynamic, fast-paced environment and manage multiple priorities effectively.</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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