Job Description
Data Science is hiring a Senior ML Algorithm Specialist to take on a senior mandate within Machine Learning, operating in a data science team building models that move from notebook to production. This is a role for someone who is expected to spend 9-15 years building credibility and, over time, own outcomes rather than just tasks.
The mandate centres on machine learning, and the person in this seat will be expected to bring depth in Data Visualization, Deep Learning Basics, Model Evaluation & Deployment, Python (Pandas/NumPy/Scikit-learn), A/B Testing, while also operating comfortably with ambiguity — senior roles here rarely come with a fully written playbook.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines. This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
On the qualifications side, we're looking at MCA as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
Compensation for this position is ₹23.8 - ₹43.8 LPA, commensurate with experience, for a Full-Time engagement based out of Mumbai. If you think you're a strong fit, go ahead and apply — we'd rather hear from you than miss you.
The mandate centres on machine learning, and the person in this seat will be expected to bring depth in Data Visualization, Deep Learning Basics, Model Evaluation & Deployment, Python (Pandas/NumPy/Scikit-learn), A/B Testing, while also operating comfortably with ambiguity — senior roles here rarely come with a fully written playbook.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines. This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
On the qualifications side, we're looking at MCA as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
Compensation for this position is ₹23.8 - ₹43.8 LPA, commensurate with experience, for a Full-Time engagement based out of Mumbai. If you think you're a strong fit, go ahead and apply — we'd rather hear from you than miss you.