
calling to clients while sitting at office
should be fluent in english
data will be provided
additional commission will be given

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About MotionGility
MotionGility is a full-fledged Video, Design, and Digital Marketing Agency helping ambitious brands accelerate sustainable growth with performance-driven strategies. Founded in 2015, we are among the Global Top 10 Explainer Video Companies and have evolved into a creative powerhouse delivering impactful digital solutions for global brands.
Location: Indore (Onsite)
Experience: 0-1 years
Number of Positions: 1
Type: Full-time
Role Overview
We are looking for a proactive and detail-oriented Project Coordinator who can effectively bridge the gap between clients and internal teams. The ideal candidate should be capable of understanding client requirements, coordinating with cross-functional teams, and ensuring smooth project execution within timelines. While experienced candidates are preferred, enthusiastic freshers with strong communication and coordination skills may also be considered.
Key Responsibilities
- Act as the primary point of contact between clients and internal teams to understand, document, and communicate project requirements clearly.
- Coordinate with creative, design, motion, and marketing teams to ensure timely execution of projects as per client expectations.
- Monitor project timelines, deliverables, and milestones to ensure smooth workflow and on-time delivery.
- Handle client communication, updates, feedback, and revisions professionally.
- Ensure proper documentation of project briefs, changes, approvals, and deliverables.
- Identify potential risks or delays and proactively coordinate solutions with the team.
- Maintain project trackers, status reports, and follow-ups on ongoing projects.
Requirements
- Strong verbal and written communication skills (mandatory).
- Excellent client handling and stakeholder management skills.
- Flexible with working hours based on project and client requirements.
- Ability to understand creative and marketing project requirements and translate them into actionable tasks for the team.
- Problem-solving mindset with attention to detail..
- Good organizational and multitasking abilities.
Why Join Us
- Work with a globally recognized creative and marketing team.
- Opportunity to build and scale outreach systems for international clients.
- Growth-focused culture with performance-based rewards.
Skillset: Aem+node
Experience: 3 to 9 Years
Location: Bangalore , Hyderabad , Pune , Chennai
Notice Period: Immediate to 15 Days
Job Description:
(Kindly mention Mandatory skills in your project)
If you're interested above requirement,
Please share the below-mentioned details :
Current CTC:
Expected CTC:
Current Company:
Notice Period:
If serving NP LWD:
Current Location:
Preferred Location:
Total-experience:
Relevant experience:
Highest qualification with location and passing year:
DOJ(If Offer in Hand from Other company):
Offer in hand with Amount:
Also, send your updated resume( CV) ASAP in word format.
RESPONSIBILITIES:
• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.
• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.
• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.
• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.
• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.
• You’ll be reporting directly to the head of the engineering and will be
instrumental in discussing and explaining the progress to top management and other stake holders.
• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.
REQUIREMENTS:
• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems
• Stay updated with latest research in machine learning esp. recommender systems and audio signals
• Have taken scalable ML services to production, maintained and managed their lifecycle
• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models
Minimum Qualifications
• 13+ years of industry experience doing applied machine learning
• 5+ years of experience in tech team management
• Fluent in one or more object oriented languages like Python, C++, Java
• Knowledgeable about core CS concepts such as common data structures an algorithms
• Comfortable conducting design and code reviews
• Comfortable in formalising a product or business problem as a ML problem
• Master’s or PhD degree in Computer Science, Mathematics or related field
• Industry experience with large scale recommendation and ranking systems
• Experience in managing team of 10-15 engineers
• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow
1. Must be graduate (BCA or B.Tech or MCA)
2. Minimum 1-6 years of experience
3. Should have strong knowledge in Microsoft business central and Microsoft Dynamics Nav
4. Strong knowledge of AL
5. Good communication skill
2-5 yrs of proven experience in ML, DL, and preferably NLP.
Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.
𝐖𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐲𝐨𝐮 𝐰𝐨𝐫𝐤 𝐨𝐧?
𝟏) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.
𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫?
𝟏) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
𝟐) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
𝟑) Strong understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
𝟒) Expertise in RNN, LSTM, and other neural network architectures.
𝟓) DL frameworks: Tensorflow, Pytorch, Keras
𝟔) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
𝟕) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
𝟖) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.
𝐖𝐡𝐲 𝐜𝐡𝐨𝐨𝐬𝐞 𝐮𝐬?
𝟏) We offer Competitive remuneration.
𝟐) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
𝟑) We offer flexibility to choose your tools, methods, and ways to collaborate.
𝟒) We always value and believe in new ideas and encourage creative thinking.
𝟓) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
𝟔) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
in python ecosystems
- Experience working with at least one Python web framework (Django / Flask)
- Passionate about code quality, automated testing, and engineering best
practices
- Good understanding of both relational and non-relational databases (bonus
points for ORMs)
- Familiarity with AWS ecosystem or Cloud Solutions such as Heroku
- Good understanding of FE technologies
- Basic knowledge of CI/CD setup(s)
- Independently own one or more multiple modules, which includes: requirement analysis, design, development, maintenance & support
- Write extensive, efficient code to address complex modules and that handles interaction between multiple components.
- Rapidly iterate to add new functionalities and solves complex problems with simple and intuitive solutions
- Produce architecture with clean interfaces, that are efficient and scalable
- Participate and contribute to architectural discussions
- Perform design and code reviews
- Perform technical feasibility and trade off studies & guides others to perform these studies
- Solve production issues. Investigate and provide solutions to minimize the business impact due to outage
- Continuously improve performance metrics of modules you own.
- Actively mentor and develop junior developers in all software development practices
- Participate in the hiring process (referrals, interviews, attending recruiting events or writing blogs)
- Onboard and mentors new team members, helps shape the culture of the team








