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Senior Consultant Job in Bangalore, India

Full Time
full time
Lead Software Engineer
2 Sep 2025
Bangalore
Verified by Turrior

Content + Source + Freshness • 12 Dec 2025 • 95% confidence

88 / 100

Offer value

The position is highly desirable due to its leadership in ML development and its crucial role within the AI domain.

  • Leadership opportunity in machine learning projects
  • High demand for AI solutions enhances job security
  • Competitive compensation and bonuses
  • Requires 6+ years in ML and 2+ in leadership roles
Pros
  • Strong potential for growth in machine learning projects
  • Leadership position in a rapidly advancing field
  • Competitive compensation and incentives for performance
Cons
  • Requires significant experience and technical expertise
  • High demands on work hours due to project nature
  • Pressure to deliver innovative solutions

Who it's for

Senior/Lead • On-site in Bangalore

Good fit
  • Senior ML developers with leadership aspirations
  • Candidates passionate about AI and innovative solutions
  • Professionals with a solid foundation in machine learning
Not recommended for
  • Entry-level candidates without AI experience
  • Those uninterested in leadership roles
  • Professionals not willing to pursue innovative methods

Motivation fit

Desire to shape AI solutions at scaleInterest in leading cross-functional teamsAspiration to work with cutting-edge technologies

Key skills

Proficiency in ML frameworks (TensorFlow, PyTorch)Experience in deploying scalable ML solutionsUnderstanding of MLOps and data management principles
Score: 88/100 AI verified analysis

About the job

Position Overview
We are seeking a highly skilled Machine Learning ML Lead Developer to design develop and lead the implementation of advanced ML solutions The ideal candidate will combine deep technical expertise in machine learning AI frameworks and software development with leadership skills to guide a team of data scientists and engineers This role requires close collaboration with product managers business stakeholders and cross functional engineering teams to deliver scalable and impactful AI driven solutions

Key Responsibilities

Leadership Strategy
Lead the design development and deployment of ML models and AI driven applications
Define the technical roadmap for ML initiatives aligned with business objectives
Mentor and guide a team of ML engineers data scientists and software developers

ML Development Engineering
Build optimize and maintain scalable machine learning pipelines
Ensure efficient data collection preprocessing feature engineering and model training
Deploy and monitor ML models in production using MLOps best practices
Evaluate and experiment with state of the art ML AI algorithms frameworks and tools

Collaboration Communication
Work with product teams to translate business problems into ML driven solutions
Collaborate with data engineers to ensure reliable data pipelines and infrastructure
Communicate results insights and technical decisions to stakeholders clearly

Governance Best Practices
Establish coding documentation and testing standards for ML projects
Ensure ethical AI practices model explainability and regulatory compliance
Drive innovation while balancing accuracy performance and scalability

Required Qualifications

Bachelor s Master s degree in Computer Science Data Science AI ML or related field
6 years of professional experience in ML AI development with at least 2 years in a lead or senior role
Proficiency in Python TensorFlow PyTorch Scikit learn and related ML frameworks
Strong background in statistics deep learning NLP computer vision or recommendation systems
Solid understanding of data structures algorithms and software engineering principles
Proven track record of successfully deploying ML models in production at scale
Hands on experience with LLMs generative AI or reinforcement learning
Experience leading cross functional AI ML projects in enterprise environments
Strong business acumen and ability to connect ML solutions to ROI

Benefits

Consulting, Run Services, Corporate, Digital, Sales and Marketing, Delivery Management, Cloud and Infrastructure, Technology, Strategy, Customer Experience Transformation, EAI Middleware, Banking & Financial Services, ServiceNow, Project Management, Core Tech .NET, Pega, Functional programming, Consulting & Advisory, Mainframe Apps, Data Integration, Delivery Transformation, Application Maintenance and support, Business intelligence., KPO, Other CRM and EAS packages, Cloud Application Engineering, Emerging Tech, Data Management, Healthcare & Life Sciences, Security, Cloud Infra & Security, Platform Assurance, Service Delivery Management, Azure, Program Management, Non-Functional Assurance, Mobile App Engineering, Web App Engineering, Telco, Insurance, Cloud Operations, Customer Experience, Business Analysis, AI/ML, SRE & Observability, DevOps, Data Testing and Validation, Infrastructure Maintenance and support, Others, AWS, Digital Quality Assurance, Experience Design, Other BPM, Salesforce, Core Tech Java, Data Platforms

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