
Lead I - Data Science - Python, Machine Learning, Spark
at Global Digital Transformation Solutions Provider
JOB DETAILS:
- Job Title: Lead I - Data Science - Python, Machine Learning, Spark
- Industry: Global Digital Transformation Solutions Provider
- Experience: 5-10 years
- Job Location: Pune
- CTC Range: Best in Industry
JD for Data Scientist
Hands-on experience with data analysis tools:
Proficient in using tools such as Python and R for data manipulation, querying, and analysis.
Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling.
Skilled in machine learning and predictive analytics:
Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch.
Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights.
Expertise in big data technologies:
Proficient in handling large datasets using big data tools such as Spark.
Skilled in employing distributed computing and parallel processing techniques to ensure efficient data processing, storage, and analysis, enabling enterprise-level solutions and informed decision-making
Skills: Python, SQL, Machine Learning, and Deep Learning, with mandatory expertise in Generative AI.
Must-Haves
5–9 years of relevant experience in Python, SQL, Machine Learning, and Deep Learning, with mandatory expertise in Generative AI
******
NP - Immediate joiners only
Location-Pune

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About Us: We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.
Why Moshi Moshi? The learning curve at Moshi Moshi is very high when compared to the industry average and that's primarily because you get to work with Companies / Brand managers / Marketers of different sizes and thought processes who push you to think better and faster. So, hop on to the ride we dearly call Moshi Moshi and let's Say hello to the world.
PS:- We are also very close to a lot of food joints and breweries, so in case your manager/boss gives you a lot of work or is Expecting the Extra, you can quickly grab a recharge and continue with your everyday life struggles. We can't do much about the manager!
Job Role: Video Lead
Experience Level: 5+ years
Location: Bangalore, Onsite
Job Description: We are looking for someone with previous social media reels edit/ creation experience who holds an experience of 5 Years plus.
Responsibilities:-
● Creation of Social media posts, reels, etc .
● Edit videotapes, insert music, dialogue, and sound effects, and arrange films into sequences.
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● Must know motion graphics.
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Director - Data engineering
What are we looking for
real solver?
Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.
Your Responsibilities
what you will wake up to solve.
1. Delivery & Tactical Rigor
- Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
- Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
- Execution & Technical Resolution
- Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
- Quality Enforcement
- Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.
2. Strategic Growth & Practice Scaling
- Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
- Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
- Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.
3. Leadership & Unit Management
- Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
- Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
- Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.
Welcome to Searce
The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.
We don’t do traditional.
As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.
Functional Skills
1. Delivery Management & Operational Excellence
- Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
- Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
- SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
- Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.
2. Architectural Implementation & Technical Oversight
- Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
- Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
- Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
- DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.
3. Unit Management & Commercial Execution
- Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
- Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
- Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
- Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.
Tech Superpowers
- Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
- End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
- Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
- Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
- AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
- Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
- Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
- Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.
Experience & Relevance
- Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
- Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
- Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
- Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
- Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
- Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.
Join the ‘real solvers’
ready to futurify?
If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.
Job Description:
Position - Cloud Developer
Experience - 5 - 8 years
Location - Mumbai & Pune
Responsibilities:
- Design, develop, and maintain robust software applications using most common and popular coding languages suitable for the application design, with a strong focus on clean, maintainable, and efficient code.
- Develop, maintain, and enhance Terraform modules to encapsulate common infrastructure patterns and promote code reuse and standardization.
- Develop RESTful APIs and backend services aligned with modern architectural practices.
- Apply object-oriented programming principles and design patterns to build scalable systems.
- Build and maintain automated test frameworks and scripts to ensure high product quality.
- Troubleshoot and resolve technical issues across application layers, from code to infrastructure.
- Work with cloud platforms such as Azure or Google Cloud Platform (GCP).
- Use Git and related version control practices effectively in a team-based development environment.
- Integrate and experiment with AI development tools like GitHub Copilot, Azure OpenAI, or similar to boost engineering efficiency.
Skills:
- 5+ years of experience
- Experience with IaC Module
- Terraform coding experience along with Terraform Module as a part of central platform team
- Azure/GCP cloud experience is a must
- Experience with C#/Python/Java Coding - is good to have
The Field Sales Executive is responsible for generating leads, Connecting with potential clients,
and Fixing meetings to meet the company's revenue targets. This role requires a self-motivated,
target-driven individual with excellent interpersonal skills and the ability to build and maintain
strong relationships with customers. The Field Sales Executive will work primarily in the field,
visiting clients, fixing meetings
Responsibilities
- Build efficient, testable and reusable codes.
- Collaborate with engineers, PMs and designers to quickly ship new requirements.
- Take on tough design and product problems while working cross-functionally across design and engineering to polish the product experience.
- Solve complex performance problems and architectural challenges.
- Thrive in a culture of continuous improvement by optimizing web products and related components to achieve and maintain high performance of business applications.
Requirements
- 2-3 years experience with hands on experience in both iOS platform with an attitude to learn the other platform.
- Strong passion for Programming in general and iOS App development in specific.
- Experience in source revision control systems such as git, svn.
- Knowledgeable about MVC and MVVM architecture.
- Experience working with remote data via REST and JSON.
- Experience with SQL Lite and other databases.
- Experience with UI development.
- Experience with publishing apps.
- Positive attitude towards work (Dynamic) and good communication skills.
Required iOS skill
- Good knowledge of SWIFT, Xcode and iOS widgets.
- Experience with Core data.
- Experience in integrating 3rd party libraries.
- Experience in building multiple Xcode schemes.
About HighLevel:
HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have 1000+ employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.
Our Website - https://www.gohighlevel.com/
YouTube Channel- https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g
Blog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/
Our Customers:
HighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 450K million businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.
Scale at HighLevel:
We work at scale; our infrastructure handles around 3 Billion+ API hits & 2 Billion+ message events monthly and over 25M views of customer pages daily. We also handle over 80 Terabytes of data across 5 Databases.
Who You Are:
As an Advisor your sole responsibility is positioning yourself as the subject matter expert on software business growth through the effective use of technology. The Advisor utilizes their expertise in business process/change management and software technologies by implementing software best practices and ensuring adoption and success with HighLevel software. Including detailed onboarding playbooks and building relationships with customers, business needs, and company.
Requirements:
- Listen and fully understand customer requirements and ‘pain points’ and translate customer requirements into implementation plans.
- Develop, coordinate, and execute implementation/upgrade/conversion project plans, task schedules, and resource activities to ensure on-time and effective project delivery.
- Design, create and manage applications, and software integration/migration deployments.
- Implementation services are delivered within scope or manage any changes in project scope, plans.
- Identify potential issues and collaborate with leadership when needed, to develop contingency
- Working with other departments and personnel to ensure information on customer needs are communicated.
- Follow up relentlessly with lagging or non-engaging accounts to ensure they implement HighLevel successfully in their business.
- Assist in Educational webinars, workshops, and more.
- Staying up to date with product features and releases.
- Identifies opportunities to streamline procedures, enhance revenue and improve product efficiency.
- Updates customer journey playbooks.
- Demonstrate technical acumen to convert plans into workable solutions.
- Communicate a passion for customer success with a team player attitude.
- Monitor, anticipate, and exceed customer adoption and usage metrics (i.e., renewals and net promoter scores).
- Conduct analysis of approved customer content and create a transition plan or migration plan.
- Advise customers on best practices, risks, and changes that impact institutional processes and timelines.
- Responsible for driving consulting milestones and achieving the agreed-upon implementation
- schedule.
- Provide guidance to customers to address critical and/or outstanding issues impacting the
- successful Implementation.
- Actively lead the consulting engagement throughout the implementation.
- Drive collaboration between internal functional teams and customers to achieve milestones and deliverables.
- Handle basic support requests during the implementation phase.
- Develop a strong rapport with new accounts to ensure they are enthusiastic about HighLevel and set up for long-term success.
- Always looking for ways to improve our onboarding delivery.
- Maintain product knowledge and consistent education.
- Cross-training with other success functions.
- Other duties may be assigned and/or modified as business needs change
Responsibilities:
- Associate degree or equivalent work experience and a minimum of two years of Customer success/software implementation/consulting experience or technical support.
- 2-3 years of experience using HighLevel or other similar vertical solutions.
- Strong skills, tact and diplomacy in dealing with sensitive customer issues, with exceptional follow-through ability and communication skills.
- Ability to handle multiple tasks in a fast-paced environment.
- Knowledge of internal systems preferred (HighLevel, Freshdesk, etc.).
- Strong understanding and proficiency in software solutions and professional service offerings.
- 2+ years of customer consulting work experience preferred.
- 2+ years of marketing experience is a plus!
- Strong verbal and written communication skills.
- IT technical skills and platform integrations.
- Experience in managing a diverse group and training each according to company standards.
- Great communication skills, verbal, written, and presentation capabilities with both customers and leadership.
- Self-starter, with a strong sense of ownership, assertive follow-through, and a passion for the highest level of customer satisfaction.
- Ability to handle the ambiguity that arises from time to time in a dynamic and fast-paced collaborative work environment.
- Strong analytical and organizational skills with superior attention to detail.
- Ability to produce high-quality documents, SOP’s and customer journey Playbooks.
- Strong computer literacy, including MS Office Suite, Internet applications, and comfort and ability
EEO Statement:
At HighLevel, we value diversity. In fact, we understand it makes our organization stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences, while providing awesome service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Apply for this job
Requirment:
- Proven industrial experience in software
- Excellent communication skill
- Excellent on Unix and Shell Scripting, Vi Editor (also Python)
- Development for any Test Automation with C++
- Development experience in Test Automation with shell scripting
- Should have good analysis skills, good comprehension and abstraction capability
- Experience / expertise in Docker
- Good experience working on Databases Oracle/MySQL: SQL Queries, Joins, Views etc.
- Good understanding of C++ skills: STL, String Operations, Design Patterns, OOPS concepts
- Know-how of Eclipse
- CI (Continuous Integration), Jenkins, GIT
- Working experience with Agile methodology, JIRA
We are looking to hire Node.js Backend developers to build a consumer-friendly social commerce app.
You can apply if you have knowledge of JavaScript and frameworks/systems (nodejs) and
- Strong analytical skills and aptitude Good Understanding of architecture, software design and best coding practices
- Ability to learn new languages and technologies
- Experience with databases (both SQL and NoSQL)
- Familiarity with Agile development methodologies
- Good working knowledge of Linux
- Excellent communication skills
Plus points:
- Knowledge of Redis, Mongo and Mysql.
- Knowledge of AWS services.
- Knowledge of CI/CD pipelines.
- Deep understanding of Database Indexing.
- Knowledge of microservices architecture.
- Knowledge of golang/rust.
Working with an early stage startup can get you an opportunity to build systems from scratch, exponentially grow your career and become industry leaders. You will be working with experienced software engineers from top IITs, unicorns and soonicorns who have built systems for millions of users












