Machine Learning Engineer

Location: Bangalore / Chennai / NCR / Pune / Hyderabad

While applying, please provide the following details:

1. Current Fixed CTC (₹ per annum):
2. Expected Fixed CTC (₹ per annum):
3. Notice Period (in days):
4. Current Location:
5. Are you open to relocating/working from any of the following locations
6. Bangalore | Chennai | NCR | Pune | Hyderabad

Job Title ML Engineer - Manager

Skill Required : AI, ML, NLP, Deep Learning, GenAI, Agentic AI, Computer Vision

Designation Management Level - Manager

What would you do

The role of an ML Engineer is both strategic and hands-on, blending deep technical expertise with creative problem-solving. In this position, you will lead the exploration and application of advanced artificial intelligence methodologies, focusing on pushing the boundaries of what is possible with data-driven insights. Your background in engineering or science, complemented by a decade or more of experience, will enable you to devise and execute research agendas that align with organizational goals.

You will collaborate closely with multidisciplinary teams to conceptualize, prototype, and scale AI solutions tailored to complex, real-world challenges. This includes formulating research hypotheses, designing experimental frameworks, and validating innovative algorithms across domains such as Natural Language Processing, Computer Vision, and Deep Learning. ML Engineers are expected to stay abreast of emerging trends, contribute to scholarly publications, and translate theoretical advances into practical business impact.

Demonstrating strong communication skills, you will effectively articulate research outcomes to both technical and non-technical stakeholders. Your role will also involve mentoring junior researchers, fostering a culture of intellectual curiosity, and ensuring rigor in all research activities.

What are you looking for

To excel in this role, an ML Engineer should possess a strong combination of technical, analytical, and interpersonal skills, including:

• Lead the development and deployment of innovative machine learning solutions to address complex, real-world challenges.
• Apply deep expertise in advanced AI methodologies, including Natural Language Processing, Computer Vision, and Deep Learning.
• Design and execute research agendas that align with organizational strategy and objectives.
• Formulate hypotheses, develop experimental frameworks, and validate machine learning algorithms.
• Collaborate with multidisciplinary teams to conceptualize and prototype AI-driven products.
• Stay abreast of emerging trends in AI and machine learning and translate theoretical advances into practical applications.
• Mentor and guide junior engineers and researchers, fostering a culture of intellectual curiosity and rigor.
• Demonstrate strong communication skills by clearly articulating research outcomes to both technical and non-technical stakeholders.
• Lead and manage multiple projects simultaneously, ensuring timely delivery and high-quality results.
• Apply AI/ML techniques to cognitive and behavioural research and interpret both quantitative and qualitative findings.
• Transform research insights into actionable business strategies that drive organizational impact.
• Uphold best practices in experimental design, data analysis, and the ethical application of AI.

Roles & Responsibilities

• Formulate and test machine learning hypotheses
• Develop experimental frameworks for AI research
• Validate and optimize ML algorithms
• Collaborate with cross-functional teams
• Mentor junior engineers and researchers
• Communicate research outcomes effectively
• Lead multiple projects concurrently
• Apply AI to cognitive, behavioural research
• Translate research into business strategies
• Uphold ethical AI and best practices